Enhanced Parameter Identification of Solar Photovoltaic Models Using a Novel Two-Stage Improved Sea Lion Optimization Algorithm

Zhanghao  Chen; Kun-Che Ho; Yi-Hua Liu

doi:10.20508/7xhx7v32

Authors

Zhanghao Chen Ascend Trading & Consultation (Shenzhen) Co., Ltd Author https://orcid.org/0009-0002-5720-6862
Kun-Che Ho National Formosa University Author https://orcid.org/0009-0004-2520-4111
Yi-Hua Liu National Taiwan University of Science and Technology Author https://orcid.org/0000-0001-7593-0155

DOI:

https://doi.org/10.20508/7xhx7v32

Keywords:

Photovoltaic Model, Parameter Identification, Metaheuristic Optimization, Sea Lion Optimizer, Two-Stage Method

Abstract

This study introduces a novel two-stage metaheuristic framework for parameter identification (PI) of the single diode model (SDM) in solar cells. The Sea Lion Optimizer (SLO) is, for the first time, applied to SDM parameter estimation and compared with five other classical and recent metaheuristic algorithms. Results demonstrate SLO's superior performance. An improved SLO (ISLO) is then developed, incorporating Lévy flight and personal best information to enhance accuracy. To further improve the accuracy, a two-stage methodology is proposed, using mathematical analysis of the SDM to derive initial parameter estimates and refine search ranges. This approach significantly enhances parameter estimation accuracy and robustness. ISLO shows enhanced accuracy, with an overall RMSE improvement of approximately 59.7 % compared to SLO. The two-stage ISLO further improves estimation, reducing the mean and standard deviation of RMSE by 89.6 % and 91.3 %, respectively. The proposed two-stage methd can also be integrated with other metaheuristic algorithms for similar gains.

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Author Biographies

Zhanghao Chen, Ascend Trading & Consultation (Shenzhen) Co., Ltd

Zhanghao Chen received the B.S. degree in electronic engineering from Southwest Jiaotong University, Chengdu, China, in 2018, and the M.S. degree in power electronics from National Taiwan University of Science and Technology, Taipei, Taiwan, in 2021. His main research interests include metaheuristic algorithms and pv parameter identiﬁcation.
Kun-Che Ho, National Formosa University

Kun-Che Ho was born in Taichung, Taiwan, in 1991. He received his B.S. and M.S. degrees in Electronic and Computer Engineering from the National Taiwan University of Science and Technology (NTUST) in 2009 and 2015, respectively. He completed his Ph.D. in Electrical Engineering at NTUST in 2022. During his Ph.D. studies, he was a Visiting Scholar at the DC System, Energy Conversion, and Storage Group at TU Delft in the Netherlands in 2022. He is currently an Assistant Professor in the Department of Automation Engineering at National Formosa University. His research interests include digital power supply, maximum power point tracking technology, and battery management.
Yi-Hua Liu, National Taiwan University of Science and Technology

Yi-Hua Liu received the Ph.D. degree in electrical engineering from the National Taiwan University, Taipei, Taiwan, in 1998. He joined the Department of Electrical Engineering, Chang-Gung University, Taoyuan, Taiwan, in 2003. He is currently with the Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. His research interests include power electronics and battery management.